DocumentCode
1856859
Title
Synthesis of the position controller for the pneumatic actuator
Author
Markov, Nikolay A. ; Shipitko, Ilya A. ; Bezruchko, Taras V.
Author_Institution
Far Eastern Nat. Tech. Univ., Vladivostok
fYear
2009
fDate
27-28 March 2009
Firstpage
116
Lastpage
120
Abstract
This paper describes predictive control of pneumatic actuator. Pneumatic cylinder is a complex nonlinear object because of friction and compressibility of the air. A precision and fast control such an object using traditional methods of control is very difficult. Predictive control with neural networks model of the plant is one of the modern approaches to control complex nonlinear objects.
Keywords
control system synthesis; neurocontrollers; nonlinear control systems; pneumatic actuators; position control; predictive control; air compression; complex nonlinear object; friction; neural network; pneumatic actuator; pneumatic cylinder; position controller synthesis; predictive control; Artificial neural networks; Communication system control; Control system synthesis; Difference equations; Friction; Neural networks; Pneumatic actuators; Predictive control; Predictive models; Three-term control; Neural network; pneumatic actuator; predictive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Communications, 2009. SIBCON 2009. International Siberian Conference on
Conference_Location
Tomsk
Print_ISBN
978-1-4244-2007-0
Type
conf
DOI
10.1109/SIBCON.2009.5044839
Filename
5044839
Link To Document